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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8 9...149 Hits 81 – 100 of 2.974 81 Data for: Psycholinguistic dataset on language use in 1145 novels published in English and Dutch ... Van Cranenburgh, Andreas. - : Mendeley, 2021 BASE Show details 82 Graph-to-Graph Translations To Augment Abstract Meaning Representation Tense And Aspect ... Bakal, Mollie. - : My University, 2021 BASE Show details 83 A Journey in Linguistic Computing from Father Busa to Linguistic Linked Data ... Passarotti, Marco. - : Zenodo, 2021 BASE Show details 84 A Journey in Linguistic Computing from Father Busa to Linguistic Linked Data ... Passarotti, Marco. - : Zenodo, 2021 BASE Show details 85 Signed Coreference Resolution ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Yin, Kayo. - : Underline Science Inc., 2021 BASE Show details 86 Including Signed Languages in Natural Language Processing ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Alikhani, Malihe; Goldberg, Yoav. - : Underline Science Inc., 2021 BASE Show details 87 Key to BibleWorks Greek Morphology (BGM) ... Bilby, Mark Glen. - : Zenodo, 2021 BASE Show details 88 Key to BibleWorks Greek Morphology (BGM) ... Bilby, Mark Glen. - : Zenodo, 2021 BASE Show details 89 Backtranslation in Neural Morphological Inflection ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Hulden, Mans; Liu, Ling. - : Underline Science Inc., 2021 BASE Show details 90 Rule-based Morphological Inflection Improves Neural Terminology Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Carpuat, Marine; Xu, Weijia. - : Underline Science Inc., 2021 BASE Show details 91 When is Char Better Than Subword: A Systematic Study of Segmentation Algorithms for Neural Machine Translation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Chen, Jiajun; Dai, Xinyu. - : Underline Science Inc., 2021 BASE Show details 92 The Reading Machine: a Versatile Framework for Studying Incremental Parsing Strategies ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Dary, Franck; Nasr, Alexis. - : Underline Science Inc., 2021 BASE Show details 93 To POS Tag or Not to POS Tag: The Impact of POS Tags on Morphological Learning in Low-Resource Settings ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Hulden, Mans; Liu, Ling. - : Underline Science Inc., 2021 BASE Show details 94 Translating Headers of Tabular Data: A Pilot Study of Schema Translation ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Gao, Yan; Guo, Jiaqi. - : Underline Science Inc., 2021 BASE Show details 95 A Prototype Free/Open-Source Morphological Analyser and Generator for Sakha ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Jonathan; Ivanova, Sardana. - : Underline Science Inc., 2021 BASE Show details 96 Automatic Error Type Annotation for Arabic ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; Belkebir, Riadh; Habash, Nizar. - : Underline Science Inc., 2021 BASE Show details 97 Developing Conversational Data and Detection of Conversational Humor in Telugu ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Pétur O.; Jónsson, Haukur P.. - : Underline Science Inc., 2021 BASE Show details 98 Superbizarre Is Not Superb: Derivational Morphology Improves BERT's Interpretation of Complex Words ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Hinrich; Hofmann, Valentin. - : Underline Science Inc., 2021 BASE Show details 99 HIT - A Hierarchically Fused Deep Attention Network for Robust Code-mixed Language Representation ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Akhtar, Md Shad; Bhattacharjee, Sourabh. - : Underline Science Inc., 2021 BASE Show details 100 Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; Callejas, Francesca; Eskander, Ramy; Khandagale, Sujay; Klavans, Judith; Lowry, Cass; Muresan, Smaranda; Polinsky, polinsky@umd.edu. - : Underline Science Inc., 2021 Abstract: Read paper: https://www.aclanthology.org/2021.findings-acl.347 Abstract: With the increasing interest in low-resource languages, unsupervised morphological segmentation has become an active area of research, where approaches based on Adaptor Grammars achieve state-of-the-art results. We demonstrate the power of harnessing linguistic knowledge as priors within Adaptor Grammars in a minimally-supervised learning fashion. We introduce two types of priors: 1) grammar definition, where we design language-specific grammars; and 2) linguist-provided affixes, collected by an expert in the language and seeded into the grammars. We use Japanese and Georgian as respective case studies for the two types of priors and introduce new datasets for these languages, with gold morphological segmentation for evaluation. We show that the use of priors results in error reductions of 8.9% and 34.2%, respectively, over the equivalent state-of-the-art unsupervised system. ... Keyword: Computational Linguistics; Condensed Matter Physics; Deep Learning; Electromagnetism; FOS Physical sciences; Morphology; Neural Network; Semantics URL: https://dx.doi.org/10.48448/j68h-8888 https://underline.io/lecture/26438-minimally-supervised-morphological-segmentation-using-adaptor-grammars-with-linguistic-priors BASE Hide details Page: 1 2 3 4 5 6 7 8 9...149

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